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types. Experience of complex data handling and management of large data sets. Machine learning approaches to time series data. Knowledge of Agile project management methodology. Communicating complex
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This post creates an opportunity to further your career in big data analysis and complex cardiovascular diseases! We are looking for a holder of university degree in computational biology
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, including data from ELISA, PNA, ELISPOT, flow cytometry, B and T cell receptor sequencing, and transcriptomics. You will develop a reproducible informatics and machine learning pipeline to process large
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, development, and maintenance of research software solutions to accelerate research and outcomes within TransiT. The RSE will allocate a portion of time to training and mentoring the large PhD/Postdoctoral
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The School of Natural Sciences seeks to recruit an enthusiastic technician with strong GIS knowledge and spatial data analysis skills, with additional experience of working in the field and
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team committed to enabling high-impact research through digital innovation. We are launching an ambitious new Centre for Digital Data Research to harness the power of digital data in driving world-class
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econometrics. His or her research should focus on areas of modern statistics and econometrics like, for example, identification, causality, inference, prediction or data analytics in general for nonparametric
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the ability to assimilate, analyse and present large and complex sets of information quickly and accurately. Excellent working knowledge of Microsoft packages and databases, and confidence in learning new
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for marketing, engagement and fundraising, gained in either a charity or HE setting; of collating large amounts of data and presenting it in appropriate formats to colleagues, senior managers and volunteers
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are looking for an ambitious Research Associate who is passionate about generative AI, synthetic data, and in-silico trials to join our multidisciplinary team. You will work with colleagues who are experts in